AI 機器學習 資源

A powerful, decoupled coding assistant built with the Model Context Protocol (MCP) and uv. This project demonstrates how to separate an AI agent's reasoning capabilities (the client) from its practical tools (the server), allowing for flexible, scalable, and maintainable agentic systems.

MCP_Agent:RETAPDPythonAI

Make Claude Code even smarter by connecting it to Google Gemini, Grok-3, ChatGPT, and DeepSeek!

Rust crate documentation embedding and semantic search service.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Datadog's observability platform through natural language.

My journey to understand how to use local LLM and make my own AI agent

The PyAirbyte Managed Code Provider (MCP) service is an AI-powered backend that generates PyAirbyte pipeline code and instructions. It leverages OpenAI and connector documentation to help users quickly scaffold and configure data pipelines between sources and destinations supported by Airbyte. The MCP service automates code generation, provides context-aware guidance, and streamlines the process of building and deploying data pipelines.

A collection of Awesome Projects leveraging Model Context Protocol

A comprehensive financial dashboard system for monitoring and analyzing investment portfolios with AI-powered insights through MCP (Model Context Protocol) integration.

This repo is a curated collection of artificial intelligence tools, resources, and research notes. This repository serves as an intelligent bookmark system and knowledge base for AI technologies, implementations, and discoveries.

Intelligent orchestration system for Kali Linux cybersecurity tools using MCP and LangGraph

Welcome to the Claude Code Multi-AI MCP repository! This project enables the Claude Code AI to utilize Grok, Gemini, and DeepSeek for effective reviewing and fixing of code. This multi-AI setup enhances the capabilities of Claude Code, allowing for a more robust and efficient coding experience.

MCP Related Projects

Consult7 is a Model Context Protocol (MCP) server that enables AI agents to consult large context window models for analyzing extensive file collections - entire codebases, document repositories, or mixed content that exceed the current agent's context limits. Supports providers Openrouter, OpenAI, and Google.

LangChain-mcpLangChainMCPDemo

An OpenAI Whisper API MCP (Model Context Protocol) server that provides audio transcription capabilities to MCP-compatible clients like Claude Desktop, Cline, and other applications.

A comprehensive Model Context Protocol (MCP) server providing accurate TFT (Teamfight Tactics) analysis built on Data Dragon foundation with community meta insights.

A human-like memory system using Qdrant vector database and OpenAI embeddings, accessible through the Model Context Protocol (MCP).

A secure Model Context Protocol (MCP) server that bridges Claude Code with OpenAI and Google Gemini APIs.

This project demonstrates how to use the Model Context Protocol (MCP) to structure prompts for Large Language Models (LLMs) using LangChain, FAISS, and a mock LLM. It walks through how MCP improves prompt quality and includes a visualization of prompt structure.

AI-powered code reviews that understand your project's context and development progress

An MCP server that uses Playwright to load and interact with an HTML page containing @mlc-ai/web-llm for local LLM inference.

TODO LLM Chat: , ,

Unreal-MCPython is a revolutionary Unreal AI tool that brings MCP (Model Context Protocol) capabilities directly into Unreal Engine. This Unreal MCP integration enables AI-assisted game development workflows, allowing developers and technical artists to leverage Claude AI for intelligent automation and smart production pipelines.

MCP and AI related

Claude.aiAI Remote MCP

A minimal MCP (Model Context Protocol) server for task management, built as a starting point for expanding task master functionality. This server provides AI-driven task management tools that work seamlessly with Claude Desktop.

A demo repository for MCP (Model Context Protocol) - showcasing how AI models can interact with external tools and services.

A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics.

A collection of agents along with MCP

The ultimate development partners for Claude - a Model Context Protocol server that gives Claude access to multiple AI models for enhanced code analysis, problem-solving, and collaborative development.

A blazingly fast, local-first Knowledge Graph server that connects to Cursor IDE. Think of it as your personal AI memory that gets smarter as you code, without sending your data anywhere.

mcpc aims to revolutionize Human-AI interaction by providing a standardized way for AI models to render and interact with dynamic, rich UI components. Instead of AI responses being limited to text or raw JSON, mcpc enables AIs to present information and actions through a familiar, interactive user interface, seamlessly blending AI capabilities with human-centric design.

A production-ready Model Context Protocol (MCP) server that provides AI-powered coaching, research planning, and progress tracking for building startups using a systematic 5-phase methodology.

A model context protocol (MCP) server that provides scientifically validated analysis of conversational speech patterns from Limitless Pendant recordings. Unlike speculative biomarker approaches, this implementation focuses exclusively on empirically validated metrics derived from real-world transcription data analysis.

This MCP (Model Context Protocol) server translates natural language medical queries into OMOP-compatible SQL queries through a standardized pipeline that includes:

Experimenting with agentic protocols; AG-UI, A2A, and MCP.

A conversational AI system built on the Model Context Protocol (MCP) with persistent conversation management and intelligent tool integration.

MCP (Model Context Protocol) AI

Apresentao automatizada mostrando IA documentando cdigo em tempo real 4 minutos de pura mgica tecnolgica!

This is a BASE-LEVEL foundational project designed to connect the GoHighLevel community with AI automation through MCP (Model Context Protocol).

The Open-Source Framework for Building Autonomous AI Web Agents

AngelaMCP enables AI collaboration through:

A Model Context Protocol (MCP) server that provides access to Voltasis API documentation through AI assistants like Claude.

A Model Context Protocol server that gives AI agents persistent memory for project management. Your agent remembers what you're working on between chat sessions.

Simple MCP Server to enable a human-in-the-loop workflow in AI-assisted development tools like Cursor, Cline and Windsurf. This server allows you to easily provide feedback directly to the AI agent, bridging the gap between AI and you.

A unified backend service for the Model Context Protocol (MCP), enabling API-driven, multi-provider AI and automation command execution, workflow chaining, and seamless integration with services like GitHub and Google. MCP Server acts as the core engine for orchestrating commands and workflows across apps and protocols.

An MCP (Model Context Protocol) server for the Toto time series forecasting model by Datadog.

arXiv Model Context Protocol (MCP)

Transform your fantasy sports experience with AI-powered insights and production-grade security

Welcome to the MCP Tutorial: Complete Guide to Building AI Tools! This repository serves as a comprehensive resource for anyone looking to develop, secure, and deploy production-ready AI integrations using the Model Context Protocol (MCP).

Developed an MCP (Multi-Component Protocol) server that directly integrates with an LLM (Large Language Model) to provide real-time weather predictions and updates. The server will communicate with AI agents and weather APIs to respond to weather-related queries for any city.

A sophisticated multi-agent travel accommodation system leveraging OpenAI's GPT-4o-mini, LangChain, and the Multi-Agent Collaboration Protocol (MCP) to provide intelligent property search and recommendations. This system orchestrates multiple AI agents for query parsing, filtering, summarization, and real-time accommodation recommendations.